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        "\n# Standalone Debugger Example\n\nThis example demonstrates how to use BugDoc's algorithms in standalone mode\nwithout requiring ZMQ or an external worker process.\n\nIn standalone mode, you pass a Python function directly to the algorithm\nthat takes a parameter dictionary and returns a result.\n"
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      "source": [
        "from bugdoc.algos.stacked_shortcut_standalone import StackedShortcutStandalone\n\n\n# Example 1: Simple pipeline function\ndef my_pipeline(params):\n    \"\"\"\n    A simple pipeline function that takes parameter values and returns a boolean result.\n    \n    Parameters\n    ----------\n    params: dict\n        Dictionary with parameter names as keys and their values.\n        \n    Returns\n    -------\n    bool\n        True if the pipeline execution was successful, False otherwise.\n    \"\"\"\n    # Extract parameters\n    mode = params.get('mode', 'default')\n    value = params.get('value', 0)\n    threshold = params.get('threshold', 0.5)\n    \n    # Run some logic\n    result = value > threshold if mode == 'compare' else value > 0\n    \n    print(f\"Pipeline executed with params: {params}, result: {result}\")\n    return result\n\n\n# Example 2: Using with the StackedShortcut algorithm in standalone mode\ndef main():\n    # Define the parameter space\n    parameter_space = {\n        'mode': ['compare', 'default', 'other'],\n        'value': [0.1, 0.5, 0.9],\n        'threshold': [0.3, 0.7]\n    }\n    \n    # Create the debugger in standalone mode by passing the function\n    debugger = StackedShortcutStandalone(max_iter=50, function=my_pipeline)\n    \n    # Run the debugger with the entry point (not used in standalone mode but required by API)\n    result = debugger.run('pipeline_function', parameter_space)\n    \n    print(f\"\\nDebugger completed. Results:\\n{result}\")\n\n\nif __name__ == '__main__':\n    main()"
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